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abstract

The Block-based, Text-based, and the CS1 Prepared

Published: 17 August 2021 Publication History

Abstract

For over 50 years, computer scientists whose backgrounds span many academic and corporate affiliations have attempted to truncate a novice programmer’s investment into their learning that might expedite the length of time required to advance from beginner to intermediate programmer. Widely accepted innovations in programming languages that use blocks instead of text to maintain novices’ motivation and attention have replaced some conventional text-based pedagogies at the pre-college level [8]. This study aims to contribute new knowledge to the Computer Science Education (CSEd) field to empirically validate whether text or block-based languages optimally prepare high school students for success in undergraduate level CS1 (Introduction to Computer Science) courses. The research sub-focus aims to distinguish the significance of equitable preparation between students from underserved communities and their peers arriving at college from affluent areas. This study introduces a 7-week, mixed-methods inquiry aimed at entering first-year undergraduate students enrolled in CS1, exploring their prior programming knowledge and experiences that might establish a relationship among high school programming curricula and learners’ CS1 achievement.

References

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David Bau, D. Bau, Mathew Dawson, and C. Pickens. 2015. Pencil code. 445–448. https://doi.org/10.1145/2771839.2771875
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Paulo Blikstein. 2018. Pre-College Computer Science Education: A Survey of the Field. (01 2018), 1–45. https://doi.org/gmS1Vm
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Shuchi Grover, Nicholas Jackiw, and Patrik Lundh. 2019. Concepts before coding: non-programming interactives to advance learning of introductory programming concepts in middle school. Computer Science Education 29 (02 2019), 1–30. https://doi.org/10.1080/08993408.2019.1568955
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Mark Guzdial. 2015. Learner-Centered Design of Computing Education: Research on Computing for Everyone. Synthesis Lectures on Human-Centered Informatics 8 (11 2015), 1–165. https://doi.org/10.2200/S00684ED1V01Y201511HCI033
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Catherine Riessman. 2008. Narrative Method for the Human Sciences. – pages.
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Allison Tew and Mark Guzdial. 2011. The FCS1: A language independent assessment of CS1 knowledge. SIGCSE’11 - Proceedings of the 42nd ACM Technical Symposium on Computer Science Education (01 2011). https://doi.org/10.1145/1953163.1953200
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David Weintrop and Uri Wilensky. 2015. Using Commutative Assessments to Compare Conceptual Understanding in Blocks-based and Text-based Programs. https://doi.org/10.1145/2787622.2787721
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David Weintrop and Uri Wilensky. 2019. Transitioning from introductory block-based and text-based environments to professional programming languages in high school computer science classrooms. Computers and Education 142 (08 2019), 103646. https://doi.org/10.1016/j.compedu.2019.103646
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Zhen Xu, Albert Ritzhaupt, Fengchun Tian, and Karthikeyan Umapathy. 2019. Block-based versus text-based programming environments on novice student learning outcomes: a meta-analysis study. Computer Science Education 29 (01 2019), 1–28. https://doi.org/10.1080/08993408.2019.1565233

Cited By

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  • (2024)Investigating relationships of sentiments, emotions, and performance in professional development K-12 CS teachersComputer Science Education10.1080/08993408.2023.2298162(1-32)Online publication date: 16-Jan-2024

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cover image ACM Conferences
ICER 2021: Proceedings of the 17th ACM Conference on International Computing Education Research
August 2021
451 pages
ISBN:9781450383264
DOI:10.1145/3446871
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 August 2021

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Author Tags

  1. CS1
  2. Computing education
  3. computational thinking
  4. computer science education

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  • Refereed limited

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ICER 2021
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Overall Acceptance Rate 189 of 803 submissions, 24%

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  • (2024)Investigating relationships of sentiments, emotions, and performance in professional development K-12 CS teachersComputer Science Education10.1080/08993408.2023.2298162(1-32)Online publication date: 16-Jan-2024

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